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Research
  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: Mr Jinhua Liang

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Zhang H, Liang J, Phan H, Wang W, Benetos E ( 2025 ) . From Aesthetics to Human Preferences: Comparative Perspectives of\n Evaluating Text-to-Music Systems .
Liu X, Zhu Z, Liu H, Yuan Y, Huang Q, Cui M, Liang J, Cao Y et al. ( 2025 ) . WavJourney: Compositional Audio Creation With Large Language Models . IEEE Transactions on Audio, Speech and Language Processing vol. 33 , 2830 - 2844 .
Zhang H, Chowdhury S, Cancino-Chacón CE, Liang J, Dixon S, Widmer G ( 2024 ) . DExter: Learning and Controlling Performance Expression with Diffusion Models . Applied Sciences vol. 14 , ( 15 ) 6543 - 6543 .
Liang J, Zhang H, Liu H, Cao Y, Kong Q, Liu X, Wang W, Plumbley MD et al. ( 2024 ) . WavCraft: Audio Editing and Generation with Large Language Models .
Ding B, Zhang T, Wang C, Liu G, Liang J, Hu R, Wu Y, Guo D ( 2024 ) . Acoustic scene classification: A comprehensive survey . Expert Systems with Applications vol. 238 , Article 121902 , 121902 - 121902 .
Zhang H, Liang J, Dixon S ( 2024 ) . FROM AUDIO ENCODERS TO PIANO JUDGES: BENCHMARKING PERFORMANCE UNDERSTANDING FOR SOLO PIANO . Proceedings of the International Society for Music Information Retrieval Conference . vol. 2024 , 511 - 519 .
( 2024 ) . Mind the Domain Gap: A Systematic Analysis on Bioacoustic Sound Event Detection . EUSIPCO . 1257 - 1261 .
Liang J, Liu X, Wang W, Plumbley MD, Phan H, Benetos E ( 2023 ) . Acoustic Prompt Tuning: Empowering Large Language Models with Audition\n Capabilities . IEEE Transactions on Audio, Speech and Language Processing (2025)
Yuan Y, Liu H, Liang J, Liu X, Plumbley MD, Wang W ( 2023 ) . Leveraging Pre-Trained AudioLDM for Sound Generation: A Benchmark Study . 2023 31st European Signal Processing Conference (EUSIPCO) . Conference: 2023 31st European Signal Processing Conference (EUSIPCO) from: 04/09/2023 to: 08/09/2023 , 765 - 769 .
Mitchell A, Brown E, Deo R, Hou Y, Kirton-Wingate J, Liang J, Sheinkman A, Soelistyo C et al. ( 2023 ) . Deep learning techniques for noise annoyance detection: Results from an intensive workshop at the Alan Turing Institute . The Journal of the Acoustical Society of America vol. 153 , ( 3_supplement ) A262 - A262 .
Liang J, Liu X, Liu H, Phan H, Benetos E, Plumbley MD, Wang W ( 2023 ) . Adapting Language-Audio Models as Few-Shot Audio Learners . CoRR . vol. abs/2305.17719 ,
Liang J, Phan H, Benetos E ( 2022 ) . Learning from Taxonomy: Multi-label Few-Shot Classification for Everyday Sound Recognition . CoRR . vol. abs/2212.08952 ,
Liang J, Phan H, Benetos E ( 2022 ) . Leveraging Label Hierachies for Few-Shot Everyday Sound Recognition . DCASE .
Jia J, Zhang H, Liang J . Bridging Discrete and Continuous: A Multimodal Strategy for Complex Emotion Detection . Conference: 2025 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING
Li R, Liang J, Phan QH . Few-Shot Bioacoustic Event Detection: Enhanced Classifiers for Prototypical Networks . Conference: 7th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE) ( Nancy, France ) from: 04/11/2022 to: 03/11/2022 ,
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